1 files changed, 80 insertions, 0 deletions
diff --git a/g4f/Provider/needs_auth/DeepInfraImage.py b/g4f/Provider/needs_auth/DeepInfraImage.py
new file mode 100644
index 00000000..2310c1c8
--- /dev/null
+++ b/g4f/Provider/needs_auth/DeepInfraImage.py
@@ -0,0 +1,80 @@
+from __future__ import annotations
+
+import requests
+
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ...typing import AsyncResult, Messages
+from ...requests import StreamSession, raise_for_status
+from ...image import ImageResponse
+
+class DeepInfraImage(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://deepinfra.com"
+    parent = "DeepInfra"
+    working = True
+    needs_auth = True
+    default_model = ''
+    image_models = [default_model]
+
+    @classmethod
+    def get_models(cls):
+        if not cls.models:
+            url = 'https://api.deepinfra.com/models/featured'
+            models = requests.get(url).json()
+            cls.models = [model['model_name'] for model in models if model["reported_type"] == "text-to-image"]
+            cls.image_models = cls.models
+        return cls.models
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        **kwargs
+    ) -> AsyncResult:
+        yield await cls.create_async(messages[-1]["content"], model, **kwargs)
+
+    @classmethod
+    async def create_async(
+        cls,
+        prompt: str,
+        model: str,
+        api_key: str = None,
+        api_base: str = "https://api.deepinfra.com/v1/inference",
+        proxy: str = None,
+        timeout: int = 180,
+        extra_data: dict = {},
+        **kwargs
+    ) -> ImageResponse:
+        headers = {
+            'Accept-Encoding': 'gzip, deflate, br',
+            'Accept-Language': 'en-US',
+            'Connection': 'keep-alive',
+            'Origin': 'https://deepinfra.com',
+            'Referer': 'https://deepinfra.com/',
+            'Sec-Fetch-Dest': 'empty',
+            'Sec-Fetch-Mode': 'cors',
+            'Sec-Fetch-Site': 'same-site',
+            'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
+            'X-Deepinfra-Source': 'web-embed',
+            'sec-ch-ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"',
+            'sec-ch-ua-mobile': '?0',
+            'sec-ch-ua-platform': '"macOS"',
+        }
+        if api_key is not None:
+            headers["Authorization"] = f"Bearer {api_key}"
+        async with StreamSession(
+            proxies={"all": proxy},
+            headers=headers,
+            timeout=timeout
+        ) as session:
+            model = cls.get_model(model)
+            data = {"prompt": prompt, **extra_data}
+            data = {"input": data} if model == cls.default_model else data
+            async with session.post(f"{api_base.rstrip('/')}/{model}", json=data) as response:
+                await raise_for_status(response)
+                data = await response.json()
+                images = data["output"] if "output" in data else data["images"]
+                if not images:
+                    raise RuntimeError(f"Response: {data}")
+                images = images[0] if len(images) == 1 else images
+                return ImageResponse(images, prompt)